Gesture based implementation on neural network: Bengali sign language to text conversion
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| שפה: | English |
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BRAC Univeristy
2018
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| גישה מקוונת: | http://hdl.handle.net/10361/9064 |
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10361-9064 |
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10361-90642022-01-26T10:20:02Z Gesture based implementation on neural network: Bengali sign language to text conversion Hasan, S.M. Farzana Rahman, Tanjina Mehnaz Chowdhury, Anika Raisa Biswas, Akash Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Neural network Sign language Bengali This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (pages 23-24). This paper presents a novel system that converts Bengali Sign language to text using an optimum system comprising of artificial neural networksand support vector model. Bengali Sign Language, has very few research papers based upon it. Therefore, for this paper we have created our own dataset. Microsoft Kinect is utilized as its input device and a complex method of bone and joint determination using contour shape, fingertip detection. Contour feature is extracted and is run through a Support Vector Machine for classification of the sign. The program has been developed in Visual Studio 2015 with a SVM wrapper. S.M. Farzana Hasan Tanjina Mehnaz Rahman Anika Raisa Chowdhury Akash Biswas B. Computer Science and Engineering 2018-01-15T06:12:18Z 2018-01-15T06:12:18Z 2017 2017-08 Thesis ID 15101145 ID 11201011 ID 13201038 ID 14101206 http://hdl.handle.net/10361/9064 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 24 pages application/pdf BRAC Univeristy |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Neural network Sign language Bengali |
| spellingShingle |
Neural network Sign language Bengali Hasan, S.M. Farzana Rahman, Tanjina Mehnaz Chowdhury, Anika Raisa Biswas, Akash Gesture based implementation on neural network: Bengali sign language to text conversion |
| description |
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Hasan, S.M. Farzana Rahman, Tanjina Mehnaz Chowdhury, Anika Raisa Biswas, Akash |
| format |
Thesis |
| author |
Hasan, S.M. Farzana Rahman, Tanjina Mehnaz Chowdhury, Anika Raisa Biswas, Akash |
| author_sort |
Hasan, S.M. Farzana |
| title |
Gesture based implementation on neural network: Bengali sign language to text conversion |
| title_short |
Gesture based implementation on neural network: Bengali sign language to text conversion |
| title_full |
Gesture based implementation on neural network: Bengali sign language to text conversion |
| title_fullStr |
Gesture based implementation on neural network: Bengali sign language to text conversion |
| title_full_unstemmed |
Gesture based implementation on neural network: Bengali sign language to text conversion |
| title_sort |
gesture based implementation on neural network: bengali sign language to text conversion |
| publisher |
BRAC Univeristy |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9064 |
| work_keys_str_mv |
AT hasansmfarzana gesturebasedimplementationonneuralnetworkbengalisignlanguagetotextconversion AT rahmantanjinamehnaz gesturebasedimplementationonneuralnetworkbengalisignlanguagetotextconversion AT chowdhuryanikaraisa gesturebasedimplementationonneuralnetworkbengalisignlanguagetotextconversion AT biswasakash gesturebasedimplementationonneuralnetworkbengalisignlanguagetotextconversion |
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1814309182909710336 |